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Python Machine Learning Cookbook

You're reading from   Python Machine Learning Cookbook Over 100 recipes to progress from smart data analytics to deep learning using real-world datasets

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781789808452
Length 642 pages
Edition 2nd Edition
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Authors (2):
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Giuseppe Ciaburro Giuseppe Ciaburro
Author Profile Icon Giuseppe Ciaburro
Giuseppe Ciaburro
Prateek Joshi Prateek Joshi
Author Profile Icon Prateek Joshi
Prateek Joshi
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Toc

Table of Contents (18) Chapters Close

Preface 1. The Realm of Supervised Learning FREE CHAPTER 2. Constructing a Classifier 3. Predictive Modeling 4. Clustering with Unsupervised Learning 5. Visualizing Data 6. Building Recommendation Engines 7. Analyzing Text Data 8. Speech Recognition 9. Dissecting Time Series and Sequential Data 10. Analyzing Image Content 11. Biometric Face Recognition 12. Reinforcement Learning Techniques 13. Deep Neural Networks 14. Unsupervised Representation Learning 15. Automated Machine Learning and Transfer Learning 16. Unlocking Production Issues 17. Other Books You May Enjoy

Capturing and processing video from a webcam

Webcams are certainly not an innovative technological innovation; their appearance dates back to the beginning of the 1990s and from then on, they gained increasing popularity thanks to the spread of video chat programs, street cams, and broadband internet connections. Currently, webcams are objects for everyone and are almost always integrated into the display frames of monitors, netbooks, and notebooks. The most common uses of a webcam are to transmit video streaming and record.

In the first case, webcams are used in video chat programs, television broadcasting, and street cams—cameras that film a fixed point of a given location. In the second case, webcams are used for creating photos and videos that you can then upload to the internet, for example, to YouTube or social networking sites. The advantage of these types of webcams...

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